Bitcoin (BTC) Network

Comprehensive AML risk assessment for the world's first and largest cryptocurrency

Bitcoin Network Analysis

UTXO Model Analysis

Advanced analysis of Bitcoin's unique Unspent Transaction Output model

Address Clustering

Sophisticated algorithms to identify related Bitcoin addresses

Mining Pool Detection

Identification of mining pools and coinbase transaction analysis

Lightning Network

Risk assessment for Lightning Network channels and transactions

Bitcoin-Specific Risk Factors

Bitcoin's UTXO model and pseudonymous nature present unique challenges for AML compliance. Our specialized algorithms analyze transaction patterns, address clustering, and mining activities to provide comprehensive risk assessment for the world's first cryptocurrency.

Bitcoin Analysis Features

Transaction Analysis

UTXO input/output analysis
Transaction fee pattern detection
Multi-signature wallet identification
SegWit and Taproot support

Address Intelligence

Address clustering algorithms
Exchange address identification
Mining pool address detection
Known service provider mapping

Risk Detection

Mixing service identification
CoinJoin transaction analysis
Suspicious pattern detection
Blacklist database integration

Compliance Features

FATF Travel Rule compliance
Sanctions screening
PEP database checking
Regulatory reporting support

Bitcoin Risk Analysis Process

1. UTXO Graph Analysis

{
  "address": "1A1zP1eP5QGefi2DMPTfTL5SLmv7DivfNa",
  "utxos": [
    {
      "txid": "4a5e1e4baab89f3a32518a88c31bc87f618f76673e2cc77ab2127b7afdeda33b",
      "vout": 0,
      "value": 5000000000,
      "confirmations": 750000,
      "risk_score": 0
    }
  ],
  "clustering": {
    "cluster_id": "cluster_genesis",
    "related_addresses": [],
    "confidence": 1.0
  }
}

2. Transaction Pattern Analysis

{
  "transaction_patterns": {
    "mixing_indicators": {
      "coinjoin_participation": false,
      "mixing_service_usage": false,
      "unusual_input_patterns": false
    },
    "behavioral_analysis": {
      "transaction_frequency": "normal",
      "amount_patterns": "consistent",
      "timing_analysis": "regular"
    }
  }
}

3. Risk Score Calculation

{
  "risk_assessment": {
    "overall_score": 15,
    "risk_level": "low",
    "factors": {
      "address_reputation": 5,
      "transaction_patterns": 10,
      "counterparty_risk": 0,
      "compliance_flags": 0
    },
    "recommendations": [
      "continue_monitoring",
      "standard_due_diligence"
    ]
  }
}

Bitcoin Best Practices

Address Management

Use new addresses for each transaction
Avoid address reuse for privacy
Implement HD wallet structures
Monitor address clustering risks

Transaction Monitoring

Verify all transaction inputs
Check counterparty addresses
Monitor for mixing services
Review transaction patterns

Timing Considerations

Allow sufficient confirmations
Monitor mempool congestion
Plan for fee fluctuations
Consider transaction finality

Risk Mitigation

Avoid high-risk addresses
Implement transaction limits
Use reputable services only
Maintain compliance records